In this paper we present an algorithm to track the motion of a salient object using Cellular Automata (CA). The overall work, taking inspiration from recent research on insect sensory motor system, investigates the application of non conventional computer vision approaches to evaluate their effectiveness in fulfilling this task. The proposed system employs the Sobel operator to individual frames, performing further elaborations through a CA, with the aim of detecting and characterizing moving entities within the field of view to support collision avoidance from the perspective of the viewer. The paper formally describes the adopted approach as well as its experimentation videos representing plausible situations.

中文翻译：

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基于元胞自动机的方法来跟踪视频中的显着对象

在本文中，我们提出了一种使用元胞自动机（CA）跟踪显着物体运动的算法。总体工作是从昆虫传感运动系统的最新研究中汲取灵感的，研究了非常规计算机视觉方法在评估其完成这项任务的有效性方面的应用。所提出的系统采用Sobel算子对各个帧进行操作，并通过CA进行进一步的细化，以检测和表征视场内的移动实体，以支持从观看者的角度避免碰撞。该论文正式描述了所采用的方法及其代表合理情况的实验视频。